À propos
Location: Fully Remote,
Must be in EST or CST Time Zone
Duration: Permanent Direct Hire
Salary: $160-170k
Responsibilities:
Design hybrid retrieval systems combining keyword search, vector similarity, and cross-encoder reranking at scale.
Build intelligent query routing with cascading classification strategies
Architect multi-model inference pipelines optimized for latency-sensitive workloads
Define relevance metrics, run A/B experiments, and drive measurable business outcomes
Support the driving MLOps standards for model deployment, monitoring, and continuous improvement
Partner with Product, Merchandising, and Engineering to translate business requirements into ML solutions
Mentor engineers and define search and ML architectural standards
Requirements:
7+ years in software, data, or ML engineering with 3+ years building production search systems
Experience with e-commerce search patterns: faceting, merchandising rules, query understanding
Strong knowledge of embedding models, approximate nearest neighbor search, and reranking architectures
Hands-on experience with vector databases and similarity search at scale (Pinecone, Milvus, Weaviate, FAISS or similar)
MLOps expertise: model deployment pipelines, monitoring, versioning, and retraining workflows
Production experience with transformer-based models for classification and ranking
Track record balancing latency, cost, and relevance tradeoffs in real-time systems
Experience designing controlled experiments and defining ML success metrics
Extremely Python Engineering - Extremely competent Python skills with demonstrated experience building enterprise grade systems. Must include developing production APIs, microservices, and data pipelines. (Python, Rest APIs, FastAPI, Microservices, Data Pipelines)
GCP Event-Driven architecture - Hands-on experiences with Event Driven Architecture (EDA) specifically using Google Cloud Platform services. GCP-native experience is strong preferred (Cloud Run, PubSub, EDA, Google Cloud). Fimiliary with gRPC for inter-service communication a plus
Search and Vector Database Experience - Practical experience with any of these search tooling (elastic search, Solr, Lucene,
Vector database, Vector embeddings)
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Compétences linguistiques
- English
Avis aux utilisateurs
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